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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Hybrid Feature Extraction Techniques For Accuracy Improvement In IVUS Image Classification

[Full Text]

 

AUTHOR(S)

S. Sridevi, M. Sundaresan

 

KEYWORDS

Cardiovascular System, Ultrasound Imaging System, IVUS images, Plaque detection.

 

ABSTRACT

In the field of Image processing, numerous applications play a vital role. Each and every application is specifically dedicated to various process in the corresponding field and such applications are Medical, Remote Sensing etc. This paper mainly aims to take care of the medical field for the purpose of identifying disease and reducing the causes of diseases. Image processing in medical applications is an important area in analysis of various Imaging systems. In that several research is going on and ultrasound imaging system is one of the popular modality used nowadays. Ultrasound imaging system is divided into many different types of study systems which are neurology, gynecology and cardiovascular system. The cardiovascular system is mainly used for the analysis of Intravascular Ultrasound (IVUS) images in order to detect the coronary artery disease. This paper mainly aims to find out the plaque disease by analyzing the different IVUS Medical images by performing the steps like Pre-processing, Minimizing the false positive findings, Reduction of Misclassifictaion Error, Hybrid feature extraction technique and Validation for improvement of classification accuracy.

 

REFERENCES

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